25 citations · 73 across the 24 of their papers we have counts for
4 papers · 1 filter
Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU
Brielen Madureira, David Schlangen
While humans process language incrementally, the best language encoders currently used in NLP do not. Both bidirectional LSTMs and Transformers assume that the sequence that is to…
An Overview of Natural Language State Representation for Reinforcement Learning
Brielen Madureira, David Schlangen
A suitable state representation is a fundamental part of the learning process in Reinforcement Learning. In various tasks, the state can either be described by natural language or…
Targeting the Benchmark: On Methodology in Current Natural Language Processing Research
David Schlangen
It has become a common pattern in our field: One group introduces a language task, exemplified by a dataset, which they argue is challenging enough to serve as a benchmark. They al…
A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models
Fabian Galetzka, Chukwuemeka U. Eneh, David Schlangen
Fully data driven Chatbots for non-goal oriented dialogues are known to suffer from inconsistent behaviour across their turns, stemming from a general difficulty in controlling par…